empirical results and in our plots will now show network dynamics as well as spectra

We have empirically characterized noise-prune's performance on non-symmetric clustered networks (i.e., going beyond We will include an expanded set of these results in the manuscript. We have not yet characterized noise-prune's performance against these Building off of the Reviewer's language learning example, even here the dynamical patterns are We will now include some text on other benefits of sparsity in the Discussion. Blue shows equivalent curve for weight-based pruning. Noise-prune performs significantly better than pruning by weights.